Skip to content

Xiaohua Zhai

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

27

Venues

12

Active years

2006–2024

Best venue rank

A*

Where they publish

Papers

27 indexed papers, newest first.

YearVenueTitleAuthors
2024CVPROn Scaling Up a Multilingual Vision and Language Model.Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
2024ECCVSILC: Improving Vision Language Pretraining with Self-distillation.Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari
2024ICLRCLIP the Bias: How Useful is Balancing Data in Multimodal Learning?Ibrahim Alabdulmohsin, Xiao Wang, Andreas Peter Steiner, Priya Goyal, Alexander D'Amour, Xiaohua Zhai
2023CVPRFlexiViT: One Model for All Patch Sizes.Lucas Beyer, Pavel Izmailov, Alexander Kolesnikov, Mathilde Caron, Simon Kornblith, Xiaohua Zhai, Matthias Minderer, Michael Tschannen, Ibrahim Alabdulmohsin, Filip Pavetic
2023ICCVSigmoid Loss for Language Image Pre-Training.Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer
2023ICMLScaling Vision Transformers to 22 Billion Parameters.Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby
2023ICMLTuning Computer Vision Models With Task Rewards.Andr Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai
2022CVPRKnowledge distillation: A good teacher is patient and consistent.Lucas Beyer, Xiaohua Zhai, Amlie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov
2022CVPRScaling Vision Transformers.Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, Lucas Beyer
2022CVPRLiT: Zero-Shot Transfer with Locked-image text Tuning.Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Lucas Beyer
2022ECCVA Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation.Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou
2022ECCVSimple Open-Vocabulary Object Detection.Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby
2021CVPROn Robustness and Transferability of Convolutional Neural Networks.Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic
2021ICLRAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
2020ECCVBig Transfer (BiT): General Visual Representation Learning.Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby
2020IGARSSTraining General Representations for Remote Sensing Using in-Domain Knowledge.Maxim Neumann, Andr Susano Pinto, Xiaohua Zhai, Neil Houlsby
2019CVPRSelf-Supervised GANs via Auxiliary Rotation Loss.Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby
2019CVPRRevisiting Self-Supervised Visual Representation Learning.Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer
2019ICCVS4L: Self-Supervised Semi-Supervised Learning.Lucas Beyer, Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov
2019ICMLA Large-Scale Study on Regularization and Normalization in GANs.Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly
2019ICMLHigh-Fidelity Image Generation With Fewer Labels.Mario Lucic, Michael Tschannen, Marvin Ritter, Xiaohua Zhai, Olivier Bachem, Sylvain Gelly
2013AAAIHeterogeneous Metric Learning with Joint Graph Regularization for Cross-Media Retrieval.Xiaohua Zhai, Yuxin Peng, Jianguo Xiao
2013ICIPCross-media retrieval by cluster-based correlation analysis.Ding Ma, Xiaohua Zhai, Yuxin Peng
2012ICASSPCross-modality correlation propagation for cross-media retrieval.Xiaohua Zhai, Yuxin Peng, Jianguo Xiao
2012ICPRTri-space and ranking based heterogeneous similarity measure for cross-media retrieval.Li Ling, Xiaohua Zhai, Yuxin Peng
2012MMMEffective Heterogeneous Similarity Measure with Nearest Neighbors for Cross-Media Retrieval.Xiaohua Zhai, Yuxin Peng, Jianguo Xiao
2006ISNNAdaptive Control Based on Recurrent Fuzzy Wavelet Neural Network and Its Application on Robotic Tracking Control.Wei Sun, Yaonan Wang, Xiaohua Zhai